| 王禄禄,陈建军,关晶,孙洪涛,薛彬彬,宋方昭,鞠英杰.智能排产算法在轮胎制造企业精准生产排产优化中的应用[J].轮胎工业,2026,46(2):0122-0126 |
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| 智能排产算法在轮胎制造企业精准生产排产优化中的应用 |
| Application of Advanced Planning and Scheduling in Precision Production Scheduling Optimization for Tire Manufacturing Enterprises |
| 投稿时间：2025-12-09 修订日期：2025-12-09 |
| DOI： |
| 中文关键词: 轮胎制造企业 智能排产算法 资源分配 工序协同 人工智能 工业大数据 |
| 英文关键词: tire manufacturing enterprise APS resource allocation process coordination artificial intelligence industrial big data |
| 基金项目: |
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| 摘要点击次数: 132 |
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| 中文摘要: |
| 对传统排产方式在轮胎制造业中的弊端进行分析，介绍智能排产算法（APS）系统在某轮胎制造企业中的应用效果。APS系统通过融合人工智能、工业大数据与运筹优化算法，实现生产资源优化配置与动态调整的优势。APS系统可以优化生产计划，提升排产效率和瓶颈工序产能，预测订单交付日期，有效应对小批量、多品种的生产需求，降低库存与成本，为轮胎制造企业实现数字化转型和提升市场竞争力提供强劲的支持。 |
| 英文摘要: |
| The drawbacks of traditional scheduling methods in the tire manufacturing industry were analyzed，and the application effectiveness of the Advanced Planning and Scheduling（APS） system in a tire manufacturing enterprise was introduced.APS systems had achieved the advantages of optimizing production resource allocation and dynamic adjustment by integrating artificial intelligence，industrial big data and operational optimization algorithms.The APS system could optimize production plans，improve scheduling efficiency and bottleneck process capacity，predict order delivery dates，effectively respond to the production needs of small batches and multiple varieties，reduce inventory and costs，and provide strong support for tire manufacturing enterprises to achieve digital transformation and enhance market competitiveness. |
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